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Medical Device Embedded Software Engineer Jobs in Queens, NY

Meta

Embedded Software Engineer

New York, NY

$184K/yr

... device compute pipelines, and provides the reliable hardware abstraction that makes research ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Persistent Systems

Embedded Software Engineer

Manhattan, NY · On-site

$133K - $160K/yr

Developing application software running on the Wave Relay network, which may include device drivers ... Persistent Systems, LLC offers a comprehensive benefits package including medical, dental, vision ...

Meta

Embedded Software Engineer

New York, NY

$143K - $189K/yr

The Reality Labs Research Software Team is looking for an Embedded Software Engineer to help bring all-day wearable AI research platforms to life throug.

New

Workila

Embedded Software Engineer

Clifton, NJ · On-site +1

$100 - $120K/hr

... software to be applied to and integrated with engineering, scientific and manufacturing requirements. You will develop real time embedded systems involving software for digital signal processing ...

Ttmtech

Embedded Software Engineer II

Farmingdale, NY · On-site

$99K - $165K/yr

We are currently seeking an Embedded Software Engineering II . Responsible for the systematic ... Benefit options include medical, dental, vision, 401k, flexible spending and health savings ...

Persistent Systems

Embedded Software Engineer

Manhattan, NY · On-site

$133K - $160K/yr

& Responsibilities We'relooking for a hands-on Embedded Software Engineer who willbe responsible ... Persistent Systems, LLC offers a comprehensive benefits package including medical, dental, vision ...

Ttmtech

Senior Embedded Software Engineer

Farmingdale, NY · On-site

$122K - $215K/yr

TTM Technologies - Aerospace and Defense Sector is seeking Senior Embedded Software Engineers to ... Benefit options include medical, dental, vision, 401k, flexible spending and health savings ...

Ttmtech

Senior Embedded Software Engineer

Farmingdale, NY · On-site

$122K - $215K/yr

TTM Technologies - Aerospace and Defense Sector is seeking Senior Embedded Software Engineers to ... Benefit options include medical, dental, vision, 401k, flexible spending and health savings ...

Ttmtech

Senior Embedded Software Engineer

Farmingdale, NY · On-site

$122K - $215K/yr

TTM Technologies - Aerospace and Defense Sector is seeking Senior Embedded Software Engineers to ... Benefit options include medical, dental, vision, 401k, flexible spending and health savings ...

Clarapath Inc.

Software Controls Engineer

Manhattan, NY · On-site

$110 - $170/hr

... embedded software that power Clarapath's advanced SectionStar™ and TrimStar Pro™ platforms ... medical device and robotics technologies that improve laboratory workflows and patient outcomes.

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All JobsMedical Device Embedded Software Engineer JobsMedical Device Embedded Software Engineer Jobs in Queens, NY

Medical Device Embedded Software Engineer information

See Queens, NY salary details

$73K

$160.1K

$181.6K

How much do medical device embedded software engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for medical device embedded software engineer in Queens, NY is $160,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What is a medical device embedded software engineer?

Medical Device Embedded Software Engineers are professionals who design, develop, and maintain the specialized software that runs on hardware inside medical devices, such as pacemakers, infusion pumps, and imaging machines. They ensure that the software meets strict regulatory standards for safety, reliability, and performance. Their work involves programming, testing, debugging, and documenting embedded code, as well as collaborating with hardware engineers and regulatory teams to bring safe and effective medical products to market.

What are the key skills and qualifications needed to thrive as a medical device embedded software engineer, and why are they important?

To thrive as a Medical Device Embedded Software Engineer, you need a strong background in embedded systems design, C/C++ programming, and a degree in electrical engineering, computer engineering, or a related field. Familiarity with real-time operating systems (RTOS), hardware-software integration, and industry standards like IEC 62304 or FDA regulations is typically required. Attention to detail, strong problem-solving abilities, and effective teamwork are vital soft skills for this role. These competencies are crucial for developing reliable, safe, and compliant software that meets stringent healthcare requirements.

What are some common challenges faced by medical device embedded software engineers when working on cross-functional teams?

Medical Device Embedded Software Engineers often collaborate closely with hardware engineers, regulatory specialists, and quality assurance teams. A common challenge is ensuring that software requirements align with hardware limitations and regulatory standards, which can necessitate frequent adjustments and clear documentation. Additionally, balancing the pace of software development with the rigorous testing and validation processes required for medical devices can be demanding. Effective communication and adaptability are essential to navigate these multidisciplinary interactions and deliver safe, compliant products.

What is the difference between Medical Device Embedded Software Engineer vs Firmware Engineer?

AspectMedical Device Embedded Software EngineerFirmware Engineer
CredentialsBachelor's in Electrical, Computer Engineering, or related; often certifications in medical device standardsBachelor's in Electrical, Computer Engineering, or related; certifications vary by industry
Work EnvironmentMedical device companies, regulated environments, quality assurance focusConsumer electronics, industrial, or embedded systems companies
Industry UsagePrimarily in healthcare, medical device manufacturingBroader tech sectors, including consumer electronics and industrial systems
Search & Comparison IntentHigh overlap in embedded systems, safety standards, and certification requirements

The Medical Device Embedded Software Engineer and Firmware Engineer roles share core skills in embedded systems development. However, the Medical Device Embedded Software Engineer focuses specifically on medical device safety, regulatory compliance, and working within healthcare environments. Firmware Engineers may work across various industries without the strict medical standards, making the Medical Device Embedded Software Engineer role more specialized in healthcare applications.

What are popular job titles related to Medical Device Embedded Software Engineer jobs in Queens, NY?

For Medical Device Embedded Software Engineer jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Medical Device Embedded Software Engineer jobs in Queens, NY look for?

The top searched job categories for Medical Device Embedded Software Engineer jobs in Queens, NY are:

What cities near Queens, NY are hiring for Medical Device Embedded Software Engineer jobs?

Cities near Queens, NY with the most Medical Device Embedded Software Engineer job openings:

Medical Device Embedded Software Engineer jobs near you

Embedded Software Engineer

Meta

New York, NY

$184K/yr

Full-time

Posted 29 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

The Reality Labs Research Software Team is looking for an Embedded Software Engineer to help bring all-day wearable AI research platforms to life through collaboration and commitment.Our prototype devices enable breakthrough research in contextualized AI — your firmware captures real-world sensor data, manages on-device compute pipelines, and provides the reliable hardware abstraction that makes research breakthroughs possible.This role requires a firmware engineer comfortable working across the entire embedded systems spectrum — from low-level MCU peripheral bring-up to SoC-level system integration — rather than specializing in a single domain. You will work across a rich technology stack including Zephyr RTOS on MCUs, AOSP/Linux on Qualcomm SoCs, multi-camera systems (SLAM, RGB, eye tracking), wireless communications (WiFi, BLE, Sub-GHz), IMU-based sensor fusion, and power-optimized embedded architectures for all-day wearable use. We are looking for someone who sees ambiguity as opportunity, nurtures a sense of ownership in themselves and others, and thrives in an honest and considerate environment. We embrace AI-native ways of working — using AI tools as force multipliers to accelerate development, testing, and iteration. We have many exciting problems to solve, and we depend on people who are comfortable with embracing a creative, thoughtful approach to short-term and long-term problem-solving to drive our innovation.
Embedded Software Engineer Responsibilities:
  • Own the design, development, and debugging of firmware, and embedded software, including sensing and imaging systems
  • Understand and implement firmware on microcontrollers and SoCs, leverage peripherals, manage power consumption, support boot loaders, and schedule real-time tasks (RTOS)
  • Collaborate in a team environment across multiple, research-focused, and engineering disciplines, making the architectural trade-offs required to rapidly deliver firmware solutions, communicating decisions and rationale clearly to a wide range of stakeholders
  • Drive firmware architecture and system bring-up across all phases of custom hardware development, including early requirement definition, firmware and embedded system design, proof-of-concept implementation, selection of MCUs and tools, and board bring-up
  • Define and champion embedded software development practices across teams and projects, including setting expectations, defining the backlog, and tracking progress of contingent staff
  • Provide architectural input in design reviews, influence technical direction across the firmware stack, and serve as a technical expert for the team on complex cross-domain problems for assigned subsystems
  • Leverage AI tools and workflows to accelerate firmware development, code generation, testing, and documentation — applying engineering judgment to determine when AI augmentation improves quality, speed, and team efficiency

Minimum Qualifications:
  • B.S. degree or equivalent experience in Computer Science, Electrical Engineering, or a related field
  • 7+ years of software development experience in embedded systems, firmware, or a related field, or a PhD with 4+ years of experience in embedded systems, firmware, or a related field
  • 3+ years of embedded software development experience in industry settings
  • Experience with embedded software design and programming in C and C++
  • Experience with building drivers for custom hardware systems
  • Hands-on experience with hardware debugging tools (oscilloscopes, logic analyzers, protocol decoders) and register-level system debugging
  • Experience designing firmware solutions from hardware data sheets, including serial protocol (synchronous/asynchronous) interface implementation
  • Experience with real-time operating systems (e.g., Zephyr, FreeRTOS, or an equivalent real-time OS)
  • Experience in independently architecting embedded systems spanning multiple processors or subsystems (e.g., MCU and SoC integration, multi-core designs)

Preferred Qualifications:
  • Familiarity with wireless protocol stacks (BLE, Wi-Fi, or proprietary RF)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working with international manufacturing partners
  • AOSP experience outside of apps and in the native environment
  • M.S. degree or equivalent experience in Computer Science, Electrical Engineering, or a related field
  • Experience in research or prototyping environments where requirements evolve rapidly
  • Experience with camera or imaging subsystems (ISP, MIPI CSI/DSI)
  • Experience using AI-assisted development tools (code generation, automated testing, AI-powered debugging) to accelerate embedded software workflows
  • Experience with SoC bring-up (ARM Cortex-A/M, Qualcomm, NXP, or similar)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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